Using Streamlit with Snowflake
Snowflake
| Expert
- 8 videos | 1h 3m 24s
- Includes Assessment
- Earns a Badge
Streamlit is an open-source library used to build interactive, visual-heavy web applications that work with a variety of DataFrames, including Snowpark DataFrames. For that reason, it is a natural fit with Snowflake. In this course, learn how to use the Streamlit library to create interactive web applications within Snowflake, build basic Streamlit apps directly in Snowsight, and enhance your Streamlit apps by adding visualizations using seaborn and Matplotlib. Next, discover how to implement various UI controls, build a UI where the user selects their ideal model type, and access the model registry within a Streamlit app. Finally, explore how to share your completed Streamlit app with other users in view-only mode. Upon course completion, you will be able to use Streamlit with Snowflake.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Outline how to use the streamlit library for interactive web applications in snowflake
Create a basic streamlit app to display data from a table when a checkbox is selected
Add heatmaps, scatter plots, and other seaborn and matplotlib visualizations to a streamlit app -
Implement sliders, selection boxes, radio buttons, and other ui controls in streamlit
Access the model registry and display a dropdown of models and model version numbers in a streamlit app
Share the completed streamlit app with a different user in view-only mode
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 46sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 3sUpon completion of this video, you will be able to outline how to use the Streamlit library for interactive web applications in Snowflake. FREE ACCESS
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3. Creating Streamlit Apps in Snowsight11m 30sLearn how to create a basic Streamlit app to display data from a table when a checkbox is selected. FREE ACCESS
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4. Adding seaborn and Matplotlib Visuals to Streamlit9m 49sDuring this video, discover how to add heatmaps, scatter plots, and other seaborn and Matplotlib visualizations to a Streamlit app. FREE ACCESS
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5. Implementing Sliders, Selection Boxes, and Radio Buttons in Streamlit11m 15sIn this video, find out how to implement sliders, selection boxes, radio buttons, and other UI controls in Streamlit. FREE ACCESS
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6. Accessing the Model Registry from a Streamlit App8m 59sIn this video, you will learn how to access the model registry and display a dropdown of models and model version numbers in a Streamlit app. FREE ACCESS
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7. Sharing Streamlit Apps9m 55sDiscover how to share the completed Streamlit app with a different user in view-only mode. FREE ACCESS
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8. Course Summary2m 8sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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